Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information

ISPRS International Journal of Geo-Information

Steven P. Jackson²  William Mullen²  Peggy Agouris²  Andrew Crooks¹  Arie Croitoru² 

[1] Department of Computational Social Science, Krasnow Institute for Advanced Study, George Mason University, 4400 University Drive, MS 6B2, Fairfax, VA 22030, USA; E-Mail:;Department of Geography and GeoInformation Science, George Mason University, 4400 University Drive, MS 6C3, Fairfax, VA 22030, USA; E-Mails:

关键词: volunteered geographic information (VGI);    OpenStreetMap;    quality;    error;    point;   

DOI  :  10.3390/ijgi2020507

来源: mdpi

【 摘 要 】

The assessment of the quality and accuracy of Volunteered Geographic Information (VGI) contributions, and by extension the ultimate utility of VGI data has fostered much debate within the geographic community. The limited research to date has been focused on VGI data of linear features and has shown that the error in the data is heterogeneously distributed. Some have argued that data produced by numerous contributors will produce a more accurate product than an individual and some research on crowd-sourced initiatives has shown that to be true, although research on VGI is more infrequent. This paper proposes a method for quantifying the completeness and accuracy of a select subset of infrastructure-associated point datasets of volunteered geographic data within a major metropolitan area using a national geospatial dataset as the reference benchmark with two datasets from volunteers used as test datasets. The results of this study illustrate the benefits of including quality control in the collection process for volunteered data.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.